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In this paper, we study the joint power control and scheduling in uplinkmassive multiple-input multiple-output (MIMO) systems with random dataarrivals. The data is generated at each user according to an individualstochastic process. Using Lyapunov optimization techniques, we develop adynamic scheduling algorithm (DSA), which decides at each time slot the amountof data to admit to the transmission queues and the transmission rates over thewireless channel. The proposed algorithm achieves nearly optimal performance onthe long-term user throughput under various fairness policies. Simulationresults show that the DSA can improve the time-average delay performancecompared to the state-of-the-art power control schemes developed for MassiveMIMO with infinite backlogs.

Dynamic Scheduling and Power Control in Uplink Massive MIMO with Random Data Arrivals